The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Air pollution characteristics and their relation to meteorological conditions during 2014–2015 in major Chinese cities
Overview
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Citations
Cites
Fine particulate matter (PM2.5) in China at a city level
Zhang, Y.-L., & Cao, F. (2015) · Scientific Reports · doi:10.1038/srep14884 · Cited by 921
Cited by
Air pollution lowers Chinese urbanites’ expressed happiness on social media
Zheng, S., Wang, J., Sun, C., Zhang, X., & Kahn, M. E. (2019) · Nature Human Behaviour · doi:10.1038/s41562-018-0521-2 · Cited by 485
Feng, Y., Ning, M., Lei, Y., Sun, Y., Liu, W., & Wang, J. (2019) · Journal of Environmental Management · doi:10.1016/j.jenvman.2019.109603 · Cited by 484
Aggravating O3 pollution due to NOx emission control in eastern China
Wang, N., Lyu, X., Deng, X., Huang, X., Jiang, F., & Ding, A. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.04.388 · Cited by 431
Air pollution reduction in China: Recent success but great challenge for the future
Zeng, Y., Cao, Y., Qiao, X., Seyler, B. C., & Tang, Y. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.01.262 · Cited by 419
Li, R., Wang, Z., Cui, L., Fu, H., Zhang, L., Kong, L., Chen, W., & Chen, J. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.08.181 · Cited by 300
Self-citation
Metadata
- Authors
- He, J., Gong, S., Yu, Y., Yu, L., Wu, L., Mao, H., Song, C., Zhao, S., Liu, H., Li, X., & Li, R.
- Venue
- Environmental Pollution
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 223
- Pages
- 484-496
- ISSN
- 0269-7491 (ISSN-L)
- OpenAlex
- W2581321420
- Cited by
- 750
- References
- 1
- FWCI
- 32.31
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Air pollution characteristics and their relation to meteorological conditions during 2014–2015 in major Chinese cities. https://app.cochat.ai/papers/10.1016/j.envpol.2017.01.050
- The paper
- He, J., Gong, S., Yu, Y., Yu, L., Wu, L., Mao, H., Song, C., Zhao, S., Liu, H., Li, X., & Li, R. (2017). Air pollution characteristics and their relation to meteorological conditions during 2014–2015 in major Chinese cities. Environmental Pollution. https://doi.org/10.1016/j.envpol.2017.01.050
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
